ArticleNature communications2025
Clinical and genomic features of Lynch syndrome differ by tumor site and disease spectrum.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Pan-cancer prevalence of microsatellite instability and Lynch syndrome in India.Familial cancer · 2026Article
- Lynch Syndrome as a Spectrum of Four Distinct Genetic Disorders: Toward Genotype-Guided Precision Management in the NGS Era.Cancers · 2026Review
- Understanding Cancer Health Disparities.Cancers · 2026Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lynch Syndrome (LS) carriers occasionally develop central nervous system (CNS) malignancies or tumors in organs not traditionally linked to the syndrome. These tumors are poorly characterized in the literature, and there is no sufficient consensus on guidelines and management recommendations for these tumors. Here we study LS from the tumor perspective and profile 238 pan-cancer specimens from 228 genetically confirmed LS carriers. Tumors are stratified into CNS LS-related, non-CNS LS-related, and non-CNS LS-unrelated groups according to anatomic site and established LS tumor spectrum. Comparative analyses against TCGA reveal significant alterations in LS incidence within endometrial and hepatic cancers. Across the three groups, we reveal marked heterogeneity in germline pathogenic-variant distribution, age at diagnosis, somatic mutation landscapes, tumor mutational burden, and microsatellite-instability status. This site- and spectrum-based stratification of a large, pan-cancer LS cohort underscores the heterogeneity of the LS and provides a data-driven foundation for refining future disease management strategies.
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